A novel systemic taxonomy of trust in the online environment (invited paper)

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Abstract

Trust and reputation comprise a wide research area in social sciences, but are also pillars of many social phenomena that shape the Internet socio-economic scene. The blossoming of virtual communities largely changed the way trust is formed and propagated. The few existing taxonomies provide only initial insights into the ways trust-benefits can be felt; they are neither complete nor elaborated in a systemic manner to provide a proper framework guided by real system-principles. In this paper, we propose a multidimensional framework for guiding the design-process, and assessing the completeness and consistency of reputation systems. Our framework is based on System theory principles; it identifies reputation system components, and more importantly, defines their interrelations. It considers the interaction-centric, dynamic and environment-dependent trust-establishment and detects five major factors that guide reputation mechanisms design. The presented framework is applied to BarterCast reputation mechanism deployed in the BitTorrent-client Tribler. © 2011 Springer-Verlag.

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APA

Ažderska, T., & Jerman Blažič, B. (2011). A novel systemic taxonomy of trust in the online environment (invited paper). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6994 LNCS, pp. 122–133). https://doi.org/10.1007/978-3-642-24755-2_11

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